We used the 2D Deep Canonical Correlation Analysis (DCCA) algorithm [1]}, [2]} followed by a SVM classifier to develop our MMDL model for CRT response prediction. DCCA extends the linear CCA model by projecting multiple views of the data to a common latent space using a deep model with multiple branches, each corresponding to one view (see Fig. REF ). Here we consider CMR and echocardiography images as two views of the same object, i.e. the heart.
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